Before diving in, I just want to let anyone reading know we’re looking for beta testers/teams/companies in a variety of verticals (ideally high ticket sales teams). Our goal is to siphon data from marketing and sales teams within various verticals for different kinds of customer personas to eventually create the most accurate AI for marketing and sales that has ever been seen or used before.
We will eventually only work with specific companies within each industry and help partners dominate in their space. We’re taking on 25 new beta users / teams starting today (8.17.2021)
If you’d like to be considered for one of the beta tester teams schedule a time with me or email me at firstname.lastname@example.org to see if it’d be a good fit.
So, let’s dive into the fun stuff 🙂
I’ll mention this again later on but here’s a general overview of what we’ll be going over in the post:
- Pre-launch phase / what has happened and what is hapening now to continue increase the confidence intervals of the AI on the backend in order to make the whole pairing process possible and optimal
- What OptimAudience’s part in the process is
- What Mental Gurus part in the process will be
- Next steps
AI has so many uses (with more to be discovered) that I’d have to write a whole 400+ (totally random number) page book to mention and explain half of them.
If you don’t want to hear anything about AI or you’re already familiar with how it works at a high level, skip to after the introduction where it says “Pre-launch phase / what has happened on the backend in order to make the whole inbound lead to sales pairing process possible”
We’re going to discuss how AI can help increase the ROI marketing and sales teams have when trying to market and sell products effectively and efficiently.
Our goal for those we work with would obviously be to decrease aquisition and retention costs along with reducing any other costs associated with lost deals / opportunities and every other metric you can think of that’s measured by sales or marketing. We’ll also dive a bit into how we plan on using it in the future in upcoming projects and campaigns.
There’s a lot that goes into this process that I’ll be explaining. I won’t be able to get into all of it in this post so I’ll be providing links and quotes to/from other domains that dive deeper into the topics that I don’t have time to get into right now.
Bridger Jensen is the man behind the psychometric AI portion of this process and I’m behind the marketing and lead generation + hand off portion. Mental Gurus is also partnered with Wrench.AI which helps with improving accuracy and segmentation along with providing valuable insights to help with marketing strategy and sales (on an individual basis which we’ll talk more about soon).
Mental gurus provides the data collected by new users / leads for Wrench ai to process and Wrench sends back filtered, actionable, highly confident data to use that we then hand off to the marketing and sales teams / reps on an ongoing basis as leads flow in.
Below is a map of how this process works at a high level which we’ll (like everything mentioned above) dive deeper into later in the post.
Before anything else, I want to make it clear that I’m not a machine learning or artificial intelligence guru. I’m very familiar with its capabilities and the high level process that have to happen in order for any AI to function properly and train towards achieving a goal using inputted data but that’s about the depth of my knowledge.
If you’d like to learn more about machine learning, check this page out and you can do a bit of a deeper dive into it.
So if you have no idea about machine learning or artificial intelligence, to sum up what machine learning does, it finds and uses patterns to increase efficiency in a plethora business ops. It can be used for other things but that’s what it’s mainly used for from what I’ve read and heard from others.
Something you’ll notice if you’ve read about AI or machine learning is that the terms AI (artificial intelligence) and machine learning are used interchangeably in most instances and have very broad meanings so they both overlap and/or have capabilities that fall underneath the same umbrella. So for the sake of brevity/simplicity I’m going to use the simple letter combination “AI” from hereon out.
Here are some definitions and links to more in depth content just so you get any clarification you need before diving in:
Artificial intelligence – the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Machine learning – the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.
AI can be trained to do a lot of things. There are even some neural networks that are trained using images, videos, and even audio to help identify and predict future (re)occurrences along with trying to help prevent those (re)occurrences or trying to make them happen more often depending on objectives and goals coded into the AI.
To give you a brief example of a somewhat surprising way that audio (same goes for images and video as well) has been used to help build and optimize an artificial neural network to help AI, here’s a story about how phone call recordings were used to identify individuals who had Alzheimer’s with over 90% accuracy.
After giving that a read and taking a look at the links in the above content, you should start to be able to identify different uses and get creative with ways AI could potentially be used now or in the future. But I’m sure even after reading that you’ll still be surprised at the depth and accuracy of the data that we are using to help sales and marketing teams.
What has happened on the backend in order to make the marketing, pairing and sales optimization process possible and highly accurate & profitable?
Before we go into that, let’s brief over the mission of Mental Gurus and what they are trying to accomplish and use this AI for in the near future aside from helping businesses become more profitable and efficient.
In Bridger’s own words, here is what the company’s mission is:
Mental Gurus is using statistically reliable and valid methods to create the world’s most advanced personality and mental wellness psychometrics. We use psychometric data coupled with the power of machine learning to help individuals know themselves more deeply, and organizations to better aid the populations they serve. We yearn to create a world wherein all people recognize their inner guru and are able to contribute their own wisdom to a cloud-based digital collective consciousness from which we can utilize actionable, effective recommendations for meeting goals and enriching the lives of ourselves and those around us.“– Bridger Jensen, Founder/CEO of Mental Gurus
Mental Gurus has been and still is being worked on heavily to improve its algorithms both from a user and business ops perspective increasing the efficiency and speed of growth for both the user and entity using the AI.
To give you a brief rundown of what happens when Mental Gurus acquires a new user, I’m going to hit on a few of the known variables that are taken into account that I can remember off the top of my head when segmenting the new users or leads into buckets. Here’s a list of some of the data the AI spits out after processing the raw inputted and scraped data:
- communication style (using natural language processing and analyzing public data from previous posts on social accounts and other channels/platforms)
- interests (based on scraped posts and meta data from each post on each social media account associated with the new users first and last name, birth date, email, contacts, and a few others that I won’t mention here)
- level of interest in the list of interests generated
- Life events
- Personality type + cognitive functions (how decisions are made data/logic vs feelings/emotions and much more)
- Best channel to reach them on (facebook, instagram, text, email, linkedin, etc.)
- Best days and times to reach the individual
With the above information (and tons more that I just don’t remember at the moment) being automatically collected, analyzed and interpreted, this gives us the ability to help identify gaps in business processes when selling specific products or services in different verticals.
Something else that Mental Gurus has incorporated into their many data collection assets is daily journal entries and daily check-ins that get tied to fluctuations in personality so that the AI can tie life events and other variables documented in the journal entries to those fluctuations throughout the users life.
The insights that will be gained and used to improve lives and businesses over the next 5 years just using the journal entry portion of this massive ecosystem of data and collection assets will be invaluable.
The reason I say that is because we will ask in the daily journal entries about how financial, health, realtionship, and other aspects of life are and any updates or recent events that impacted those parts of their life in any way. This is so we get a more holistic view of exactly what is and isn’t causing certain behaviors and outcomes in peoples lives.
Imagine the range of uses this data would have when first speaking with someone that came in as a new hot lead and throughout the sales cycle. Obviously we wouldn’t share the journal entries with sales reps or anything like that but we will use that data in other ways to help the rep just without sacrificing the private information in the entries. It’ll just be more broad but still actionable data.
There are HUGE advantages that would come with knowing how the individual makes decisions, past and present struggles , financial position, etc.
Now, take into account that this process has been happening and is still being refined even right now as you’re reading this. If a user of mental gurus uploads a post to instagram right now, the AI scrapes the posts meta data, caption, location (if inserted), conversations between other users, etc. and then processes it to identify if the predictions it made were accurate or not in which case either way, the AI gets better and more accurate.
Eventually we’ll be pairing this data with other data sources (health data from wearables, previous therapy session notes, medical records, demographic data etc.) to increase the accuracy and segmentation of the users and target audiences of businesses.
On top of this information, the Mental Gurus and OptimAudience team is letting new beta testers (first 25) use something that will help absolutely CRUSH sales goals and drive up revenue.
And what that is, is a personalized 4 page PDF for EVERY NEW LEAD GENERATED with specifics on how to speak to them, the likelihood of the lead being interested in specific products or services you provide as a business, approximate financial position / capability, and some others that I don’t remember off the top of my head. I’ll be adding to this post later to add in more specifics found within the 4 pager.
I’m sure you see the value in having this information about a potential new client before the first call with them.
We could be wrong but, we’re projecting that this will eventually be used by all of the best sales teams in the country within each vertical. And it’s only going to get better and more accurate as we get feedback and refine the AI. Who knows, maybe a 4 pager would be too much information before a first call. We’ll obviously have to evolve as we receive new information from our beta tester teams but even as it is we hope this will be a game changer for those we work with.
What is Our (OptimAudience) Role in the lead to sales pairing process?
This section is undoubtedly going to be much shorter than the previous one above.
Our passion at OptimAudience is gaining the marketing insights and providing the necessary volume of leads to continue the ongoing optimization and user acquisition process along with also marketing for the companies that are clients of ours and Mental Gurus. This is so that every penny spent on acquiring new users and leads is spent carefully using highly accurate and effective methods of marketing within the digital marketing ecosystem.
When we bring on any new client we make sure that we are able to serve them better than anyone else and do the necessary work in order to give us that edge that is often needed to make sure everything from research to scaling marketing campaings on each channel we’re using in our clients’ strategy runs smoothly.
And if something isn’t successful, we use the feedback / data from the marketing channels and campaigns to correct the approach, strategy, tactic or other variable within the marketing campaigns that may be negatively impacting the results and effectiveness.
One of our key differences when compared to other agencies is the time devoted to personalization / customization of the strategies we develop for clients so that we are better able to help scale and we aren’t just using generic approaches for each company we take on as a new client of ours.
So, to put it simply, we effectively research, strategize, implement, correct, optimize and rapidly scale marketing spend and always make sure we are doing so highly profitably so that we can collect and use the most data we’re able to in order to help clients dominate the competition and ramp up revenue and growth. We give our clients money back if we don’t produce the results expected in our agreement signed at the beginning of our relationship within the time frame alloted. But our approach in addition to the huge advantage that comes with having Mental Gurus as a partner of ours deems that highly unikely.
To end this portion and what we do, We generate the necessary leads to get pushed to Mental Gurus which then spits back out the information and recommendations necessary to positively impact win loss ratios in your current sales cycle for your products or services.
You can check out a recent paid social campaign we did with Mental Gurus and see the kind of ROI we got from our dollars spent (it only shows our test budget since we lost access to other data when our account and data unexpectedly got wiped for whatever reason).
Considering Being A Beta Tester?
If you’re wondering if this is something that would be a good fit for both parties consider this:
We’re ideally looking for businesses with:
- High ticket services or products
- Marketing teams that are plateauing or would like help boosting conversion rates on digital marketing campaigns
- Sales teams or individuals that want to increase their close ratios
- A desire to get deep insights into who their ICP or ICPs are and how to better target and persuade them online
These are the main variables we suspect will play most into how much we’re able to improve a current marketing and sales system for those that come on board as beta testers.
We know these are very broad problems to be solving and it may look like it’s difficult or impossible to fix or improve according to what you’ve read here but realize that there is a lot more going on backend that I haven’t mentioned that helps with improving upon every one of these aspects you may be wanting to improve upon in your business.
If you’d like to be considered for one of the beta tester teams schedule a time with me to see if it’d be a good fit.
We look forward to seeing what kind of feedback we get and how much we can help you, your team, and your company grow.